<em>Gukora</em> and <em>Itsembatsemba</em>: The ““Ordinary Killers”” in Jean Hatzfeld's <em>Machete Season</em>
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This article examines Jean Hatzfeld’s Machete Season: The Killers in Rwanda Speak, a collection of testimonials by perpetrators of the genocide in Rwanda. While surveying popular representations of killers in Rwanda, circulating theories about the 1994 genocide and the veracity of these killers’ accounts, this article also investigates the production, edition, and translation of these killers’ interviews. In particular, it focuses on Jean Hatzfeld’s role as editor of these killers’ testimonies and Innocent Rwililiza’s position as translator-interviewer. Contextualizing elements missing from these interviews—namely, concepts from Rwandan language, history, and culture, as well as broader psychosocial dimensions both pre- and post-genocide—this article problematizes Hatzfeld’s depiction of these “ordinary killers.”
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.018 | 0.005 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.003 | 0.009 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.006 | 0.003 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it